Triple
T14743689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aer Lingus AerClub |
E346412
|
entity |
| Predicate | baseTier |
P59179
|
FINISHED |
| Object | Green |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Green | Statement: [Aer Lingus AerClub, baseTier, Green]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baseTier Context triple: [Aer Lingus AerClub, baseTier, Green]
-
A.
firstTier
Indicates that one entity occupies the highest or primary level, rank, or priority relative to others in a hierarchical structure.
-
B.
hasLowerTier
Indicates that one entity is ranked, valued, or classified at a lower level or tier relative to another entity.
-
C.
lowerTierHeight
Indicates the vertical measurement or elevation of the lower tier in a multi-level structure relative to a reference level.
-
D.
partOfTier
chosen
Indicates that one entity belongs to, is included within, or forms a component of a specified tier or level in a hierarchical structure.
-
E.
baselineType
Indicates the type or category of a baseline used as a reference point for comparison or evaluation.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7367a1c819081082cc355e385fa |
completed | April 14, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69de8bf9331481909582045cd567d91f |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:30 a.m.